Class

org.apache.spark.mllib.feature

ElementwiseProduct

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class ElementwiseProduct extends VectorTransformer

Outputs the Hadamard product (i.e., the element-wise product) of each input vector with a provided "weight" vector. In other words, it scales each column of the dataset by a scalar multiplier.

Annotations
@Since( "1.4.0" )
Source
ElementwiseProduct.scala
Linear Supertypes
VectorTransformer, Serializable, Serializable, AnyRef, Any
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  1. ElementwiseProduct
  2. VectorTransformer
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Instance Constructors

  1. new ElementwiseProduct(scalingVec: Vector)

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    scalingVec

    The values used to scale the reference vector's individual components.

    Annotations
    @Since( "1.4.0" )

Value Members

  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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    protected[java.lang]
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    @throws( ... )

  6. final def eq(arg0: AnyRef): Boolean

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )

  9. final def getClass(): Class[_]

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  10. def hashCode(): Int

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  11. final def isInstanceOf[T0]: Boolean

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  12. final def ne(arg0: AnyRef): Boolean

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  13. final def notify(): Unit

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  14. final def notifyAll(): Unit

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  15. val scalingVec: Vector

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    The values used to scale the reference vector's individual components.

    The values used to scale the reference vector's individual components.

    Annotations
    @Since( "1.4.0" )

  16. final def synchronized[T0](arg0: ⇒ T0): T0

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  17. def toString(): String

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  18. def transform(vector: Vector): Vector

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    Does the hadamard product transformation.

    Does the hadamard product transformation.

    vector

    vector to be transformed.

    returns

    transformed vector.

    Definition Classes
    ElementwiseProduct → VectorTransformer
    Annotations
    @Since( "1.4.0" )

  19. def transform(data: JavaRDD[Vector]): JavaRDD[Vector]

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    Applies transformation on a JavaRDD[Vector].

    Applies transformation on a JavaRDD[Vector].

    data

    JavaRDD[Vector] to be transformed.

    returns

    transformed JavaRDD[Vector].

    Definition Classes
    VectorTransformer
    Annotations
    @Since( "1.1.0" )

  20. def transform(data: RDD[Vector]): RDD[Vector]

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    Applies transformation on an RDD[Vector].

    Applies transformation on an RDD[Vector].

    data

    RDD[Vector] to be transformed.

    returns

    transformed RDD[Vector].

    Definition Classes
    VectorTransformer
    Annotations
    @Since( "1.1.0" )

  21. final def wait(): Unit

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    @throws( ... )

  22. final def wait(arg0: Long, arg1: Int): Unit

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  23. final def wait(arg0: Long): Unit

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Inherited from VectorTransformer

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Inherited from AnyRef

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